Delta-Gap Source Excitation Model in Surface-Volume-Surface Electric Field Integral Equation for 3-D Interconnect Characterization
Bibliographic record
Abstract
A delta-gap source model is proposed for Surface-Volume-Surface Electric Field Integral Equation (SVS-EFIE) which is a new class of single source integral equation (SSIE). The proposed excitation model enables the use of SVS-EFIE for full-wave analysis of interconnects which accurately accounts for the loss in the conductors and allows for rigorous handling of the substrate multilayered medium. The delta-gap source model of SVS-EFIE is derived based on the conventional model that was formulated for the classic surface Electric Field Integral Equation (EFIE). The computation of the network parameters, however, requires computation of the electric fields at the ports volumetric cross-sections. The SVS-EFIE and the proposed source model are discretized using Method of Moments (MoM). Preliminary numerical results are provided for current distribution and the input impedance calculations of a dipole antenna. The input impedance of the dipole antenna computed using proposed excitation model is shown to agree well with that computed using classical surface EFIE provided the latter uses appropriate surface impedance model to account for the conductor loss.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".